Intent based Image Ranking for Web Search Reranking
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 4
Abstract
Abstract: New approach is presented for reranking of the images. While searching images on the web to increase the accuracy of the image search result Image search reranking is used. Image search reranking is aneffective approach to refine the initial text-based image search result. In the reranking process,image visual contents are used to refine the initial text based result. The image re-ranking restricts users’ attempt to just one-click feedback is a useful way to improve search results and its interaction is simple enough. One click event of the user is considered as user intention. We propose a feature extraction algorithm named Hyperspherebased Relevance Preserving Projection (HRPP) and a ranking function called Hypersphere-based Rank (HRank).A main challenge in the research of image Reranking is that the similarities of the visual features do not perfectly associate with actual semantic meaning of images which intends users search goals. H-Rank is aneffective ranking algorithm to sort the images by their distances to the hypersphere center. Moreover, to capture the user’s intent with minimum human interaction, a reversed KNN algorithm is proposed as One-Click-basedHRPP (OC-HRPP). Finally, OC-HRPP algorithm and H-Rank algorithm form a new ISR method.
Authors and Affiliations
Kshitija H. Ghadge , Sunil M. Sangve
Keywords
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